Robots in Retirement Homes: Applying Off-the-Shelf Planning and Scheduling to a Team of Assistive Robots (Extended Abstract)

Robots in Retirement Homes: Applying Off-the-Shelf Planning and Scheduling to a Team of Assistive Robots (Extended Abstract)

Tony T. Tran, Tiago Vaquero, Goldie Nejat, J. Christopher Beck

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence
Journal track. Pages 5080-5084. https://doi.org/10.24963/ijcai.2017/726

We investigate Constraint Programming and Planning Domain Definition Language-based technologies for planning and scheduling multiple robots in a retirement home environment to assist elderly residents. Our robotics problem and investigation into proposed solution approaches provide a real world application of planning and scheduling, while highlighting the different modeling assumptions required to solve such a problem. This information is valuable to the planning and scheduling community as it provides insight into potential application avenues, in particular for robotics problems. Based on empirical results, we conclude that a constraint-based scheduling approach, specifically a decomposition using constraint programming, provides the most promising results for our application.
Keywords:
Constraints and Satisfiability: Modeling/Formulation
Planning and Scheduling: Scheduling
Planning and Scheduling: Robot Planning